Spiros Denaxas
- TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 52 citations
Decision Sciences · Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Healthcare cost, quality, practices #Meta-analysis and systematic reviews
- PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
2025/03/24 by Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul +25 · 1 voice · 3 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
- Proteomic signatures improve risk prediction for common and rare diseases
2024/07/22 by Julia Carrasco-Zanini, Maik Pietzner, Jonathan Davitte +19 · 2 voices · 2 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · #Advanced Proteomics Techniques and Applications #Genomics and Rare Diseases #Ubiquitin and proteasome pathways
- Avoidable flaws in observational analyses: an application to statins and cancer
2019/10/01 by Barbra A. Dickerman, Xabier García‐Albéniz, Xabier García-Albéniz +4 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Advanced Causal Inference Techniques #Cancer, Lipids, and Metabolism #Lipoproteins and Cardiovascular Health